Position:
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Data Analyst
Company:
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Schbang
Location:
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Mumbai Metropolitan Region, India
Job type:
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Full-time
Job mode:
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Onsite
Job requisition id:
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Not specified
Years of experience:
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0–3 years
Company description
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Schbang is a fast-growing Creative, Media & Technology Transformation company founded in 2015 by Harshil Karia, Sohil Karia, and Akshay Gurnani.
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The company is headquartered in Mumbai, with additional offices in Delhi, Bangalore, and London.
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Schbang delivers integrated digital solutions, combining creative strategy, content production, media planning, and technological development.
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Their name reflects a holistic approach: "We Bring the Whole Shebang."
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They’ve built a team of over 1,000 professionals and served 300+ brands in under a decade.
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Schbang's client portfolio includes renowned brands such as Marvel, Myntra, Amazon, PayTM Money, Porsche, Philips, Fevicol, and Baskin Robbins.
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The organization is a Google Premier Partner, Adobe Solution Partner, HubSpot Certified Partner, and Zoho Premium Partner.
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The company’s growth mindset is reflected in its 27% employee growth rate in just two years, and they’re focused on global expansion and creative innovation.
Profile overview
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Schbang is recruiting an enthusiastic and analytical Data Analyst to support business decisions using data-driven insights.
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The candidate will play a vital role in collecting, cleaning, and interpreting data to deliver actionable intelligence across departments.
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This role demands excellent data analysis skills, including statistical techniques and the ability to interpret results with clarity.
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Communication is key – the ideal candidate should be adept at breaking down complex insights for both technical and non-technical teams.
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Prior experience with Google Analytics 4 (GA4) is a mandatory requirement, indicating a focus on digital performance tracking and behavioral insights.
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In addition to technical expertise, the candidate should bring collaborative energy to work closely with cross-functional teams.
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This is an opportunity to drive growth, identify operational efficiencies, and enhance user experiences using data.
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The job is well-suited for fresh graduates and early-career professionals who are data-savvy and eager to grow in a fast-paced creative environment.
Qualifications
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A bachelor’s degree in a relevant field such as Statistics, Mathematics, Computer Science, or Data Science is required.
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Candidates must have a demonstrable background in working with quantitative data and drawing valuable insights.
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Proficiency in Microsoft Excel is essential, along with experience in data visualization and reporting tools.
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Practical knowledge and hands-on experience with Google Analytics 4 (GA4) is a must.
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Strong analytical mindset with attention to detail, especially when working with complex or large datasets.
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Excellent written and verbal communication skills, especially the ability to explain data findings to non-technical audiences.
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Ability to identify patterns, trends, and anomalies in data that can support strategic business decisions.
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A strong inclination toward solving problems and contributing to a collaborative team environment.
Additional info
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The role involves engaging with diverse teams to understand and fulfill their data needs.
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You’ll be responsible for maintaining data systems and cleaning raw datasets from multiple sources.
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Expect to present findings in a simplified manner using reports, dashboards, or interactive visuals.
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Insights will directly influence company strategies related to marketing performance, customer behavior, and process improvement.
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The company values continuous learning and encourages employees to stay updated with the latest trends in data and analytics.
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This is a great opportunity for those seeking growth in a digital-first organization committed to innovation.
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A culture of open communication, creativity, and data-informed decision-making underpins all projects at Schbang.
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The role offers exposure to clients and stakeholders from different industries, providing a well-rounded professional experience.
Please click here to apply.
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